Code for the paper "Adversarially Regularized Autoencoders (ICML 2018)" by Zhao, Kim, Zhang, Rush and LeCun

Last update: Jan 02, 2023

Related tags

Overview

ARAE

Code for the paper "Adversarially Regularized Autoencoders (ICML 2018)" by Zhao, Kim, Zhang, Rush and LeCun https://arxiv.org/abs/1706.04223

Disclaimer

Major updates on 06/11/2018:

WGAN-GP replaced WGAN
added 1BWord dataset experiment
added Yelp transfer experiment
removed unnecessary tricks
added both RNNLM and ngram-LM evaluation for both forward and reverse PPL.

File structure

lang: ARAE for language generation, on both 1B word benchmark and SNLI
yelp: ARAE for language style transfer
mnist (in Torch): ARAE for discretized MNIST

Reference

@ARTICLE{2017arXiv170604223J,
   author = {{Junbo} and {Zhao} and {Kim}, Y. and {Zhang}, K. and {Rush}, A.~M. and 
	{LeCun}, Y.},
    title = "{Adversarially Regularized Autoencoders for Generating Discrete Structures}",
  journal = {ArXiv e-prints},
archivePrefix = "arXiv",
   eprint = {1706.04223},
 primaryClass = "cs.LG",
 keywords = {Computer Science - Learning, Computer Science - Computation and Language, Computer Science - Neural and Evolutionary Computing},
     year = 2017,
    month = jun,
   adsurl = {http://adsabs.harvard.edu/abs/2017arXiv170604223J},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

Code for the paper "Adversarially Regularized Autoencoders (ICML 2018)" by Zhao, Kim, Zhang, Rush and LeCun

Related tags

Overview

ARAE

Disclaimer

File structure

Reference

Owner

Junbo (Jake) Zhao

TilinGNN: Learning to Tile with Self-Supervised Graph Neural Network (SIGGRAPH 2020)

Designing a Minimal Retrieve-and-Read System for Open-Domain Question Answering (NAACL 2021)

A toolkit for making real world machine learning and data analysis applications in C++

Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides

The project was to detect traffic signs, based on the Megengine framework.

Code for the tech report Toward Training at ImageNet Scale with Differential Privacy

This tool uses Deep Learning to help you draw and write with your hand and webcam.

A pre-trained language model for social media text in Spanish

we propose a novel deep network, named feature aggregation and refinement network (FARNet), for the automatic detection of anatomical landmarks.

Composing methods for ML training efficiency

Stream images from a connected camera over MQTT, view using Streamlit, record to file and sqlite

Focal and Global Knowledge Distillation for Detectors

🔪 Elimination based Lightweight Neural Net with Pretrained Weights

A customisable game where you have to quickly click on black tiles in order of appearance while avoiding clicking on white squares.

YOLOv5🚀 reproduction by Guo Quanhao using PaddlePaddle

This is the official code for the paper "Learning with Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision"

CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing Images

Technical experimentations to beat the stock market using deep learning :chart_with_upwards_trend:

ML-Ensemble – high performance ensemble learning

OCRA (Object-Centric Recurrent Attention) source code